{"id":"W4255453034","doi":"10.1007/978-3-662-53120-4_300364","title":"Laser-Assisted Milling","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Materials science; Laser; Optics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001504682,0.0007404474,0.0005710361,0.001170567,0.0007334523,0.001732626,0.001000098,0.0007641609,0.04712612],"category_scores_gemma":[0.0001952233,0.0004430476,0.0003363903,0.001663106,0.0005665286,0.001273961,0.001127412,0.001382546,0.02625723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005914431,"about_ca_system_score_gemma":0.0005562668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000718373,"about_ca_topic_score_gemma":0.002671039,"domain_scores_codex":[0.9996283,0.00001280762,0.000008105938,0.00005666874,0.0002708753,0.00002328144],"domain_scores_gemma":[0.9999387,0.00001295094,0.000003969101,0.00001566318,0.00002481199,0.000003979922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003816328,0.00005157029,0.00006390744,0.0005500386,0.00001178024,0.00008322464,0.0001471474,0.001954353,0.02873316,0.08508264,0.1056783,0.7776057],"study_design_scores_gemma":[0.000004106665,0.00002934958,0.0003138523,0.00009994291,0.000005728906,0.0002742574,0.00003269677,0.0018438,0.0098113,0.0113957,0.9761733,0.00001588576],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002667832,0.02151645,0.08623205,0.0003803982,0.001314573,0.0001027082,0.0003151922,0.001331226,0.8861396],"genre_scores_gemma":[0.01158508,0.009208875,0.02144613,0.0001887,0.0001498995,0.00005084098,0.0003514589,0.0002348381,0.9567842],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04712612,"threshold_uncertainty_score":0.1576526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119894038729126,"score_gpt":0.2021216558783672,"score_spread":0.190922715491076,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}